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Patterns of comorbidities in women with breast cancer: a Canadian population-based study

机译:患有乳腺癌的妇女的可融合性模式:基于加拿大人群的研究

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Purpose Improving the understanding of co-existing chronic diseases prior to and after the diagnosis of cancer may help to facilitate therapeutic decision making in clinical practice. This study aims to examine patterns of comorbidities in Canadian women with breast cancer. Methods We conducted a retrospective cohort study using provincial linked administrative health datasets from British Columbia, Canada, between 2000 and 2013. Women diagnosed with breast cancer between 2005 and 2009 were identified. The index date was defined as the date of diagnosis of breast cancer. Subsets of the breast cancer cohort were identified based on the absence of individual type of comorbidity of interest within 5 years prior to breast cancer diagnosis. For each subset, cases were then individually matched by year of birth at 1:2 ratios with controls without a history of cancer and the individual type of comorbidity of interest within 5 years prior to the assigned index year, matching with the year of breast cancer diagnosis of the corresponding case. Baseline comorbidities were measured over a 1-year period prior to the index date using two comorbidity indices, Rx-Risk-V and Aggregated Diagnosis Groups (ADG). Cox regression model was used to assess the development of seven specific comorbidities after the index date between women with breast cancer and non-cancer women. Results The most prevalent baseline comorbidity in the breast cancer cohort measured using the Rx-Risk-V model was cardiovascular conditions (39.0%), followed by pain/pain-inflammation (34.8%). The most prevalent category measured using the ADG model was major signs or symptoms (71.8%), followed by stable chronic medical conditions (52.2%). The risks of developing ischemic heart disease, heart failure, depression, diabetes, osteoporosis, and hypothyroidism were higher in women with breast cancer compared to women without cancer, with the hazard ratios ranging from 1.09 (95 CI% 1.03-1.16) for ischemic heart disease to 2.10 (95% CI 1.99-2.21) for osteoporosis in the model adjusted for baseline comorbidity measured using Rx-Risk-V score. Conclusion Women with breast cancer had a higher risk of developing new comorbidities than women without cancer. Development of coordinated care models to manage multiple chronic diseases among breast cancer patients is warranted.
机译:目的在癌症诊断之前和之后改善了对共存慢性病的理解可能有助于促进临床实践中的治疗决策。本研究旨在研究加拿大妇女的乳腺癌患者的综合性模式。方法采用来自加拿大不列颠哥伦比亚省,2000年至2013年之间的省级联系行政健康数据集进行了回顾性队列研究。确定了2005年至2009年期间患有乳腺癌的妇女。指数日期定义为乳腺癌的诊断日期。基于乳腺癌诊断前5年内缺乏乳腺癌群组的亚群核癌群组。对于每个子集,患者随后在出生年份单独匹配,在1:2比率,没有癌症史和在指定指数年前5年内的患者历史,与乳腺癌年份相匹配诊断相应的案例。使用两种合并指数,Rx-Risk-V和综合诊断组(ADG)在指数日期之前的1年期间测量基线同疗。 Cox回归模型用于评估患有乳腺癌和非癌症女性妇女的指数日期后七种特定合并症的发展。结果使用Rx-Risk-V型型号测量的乳腺癌队列中最普遍的基线合并症是心血管条件(39.0%),其次是疼痛/疼痛 - 炎症(34.8%)。使用ADG模型测量的最普遍的类别是主要的迹象或症状(71.8%),其次是稳定的慢性医疗条件(52.2%)。缺血性心脏病的风险,心力衰竭,抑郁,糖尿病,骨质疏松症和甲状腺功能亢进症的患者患有患者的妇女与没有癌症的女性相比,患有1.09(95ci%1.03-1.16)的危害率为缺血性心脏疾病到2.10(95%CI 1.99-2.21)用于骨质疏松症,用于使用RX-RUSK-V分数测量的基线合并症的模型中。结论乳腺癌的女性在没有癌症的女性的情况下开发新的合并症的风险较高。有必要开发协调护理模型来管理乳腺癌患者多重慢性病的疾病。

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